ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Journal Article
Thematic Areas : Wireless Network and Application
Publisher : Engineering Letters.
Source : Engineering Letters, International Association of Engineers, Volume 24, Number 1, p.1-10 (2016)
Keywords : Analytic method, Cloud service providers, decision making, Distributed computer systems, Distributed database systems, Fuzzy, Fuzzy methods, Multi-criteria decision making methods, Multiple criteria decision making, Ranking system, Service provider, Trusted computing .
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA), Computer Science
Year : 2016
Abstract : Cloud Computing is a specialized form of Distributed computing in which the resources such as storage, processors, memory etc. are completely abstracted from the consumer. The number of Cloud Service Providers (CSPs) who offer computing as a service has increased in recent times and often the customers need to interact with unknown service providers to carry out transactions. In such an open and anonymous environments, trust helps to build consumer confidence and provides a reliable environment for them. A trust based ranking system could also help them to choose between the services as per their requirement. In this paper, multi criteria decision making methods have been used to rank the service providers based on their infrastructure parameters. A combination of analytic and fuzzy method gives a better trust estimate as compared to an analytic method alone. © 2016, Newswood Ltd. All rights reserved.
Cite this Research Publication : Dr. Supriya M., Sangeeta, Ka, and Patra, G. Kb, “Trustworthy cloud service provider selection using multi criteria decision making methods”, Engineering Letters, vol. 24, pp. 1-10, 2016.